摘要
针对输变电工程数据来源多样、类型复杂、数据量大导致数据存储压力大的问题,提出了一种基于层级设计的输变电工程数据存储架构.将输变电工程数据划分为结构化数据和非结构化数据,使用不同的存储方式以优化配置存储资源;使用基于遗传算法的数据迁移方法实现海量数据的迁移,使用不同配置的数据存储中心进行仿真与测试.结果表明,所提出的存储架构和数据迁移方法能有效解决海量输变电工程数据存储的问题,提升输变电工程数据存储系统的性能.
Aiming at the high-pressure problem of data storage caused by data sources diversity,complex types and large data amount in the power transmission and transformation engineering,a data storage architecture for power transmission and transformation engineering based on hierarchical design was proposed.The data for power transmission and transformation engineering were classified as structured and unstructured data;the storage resources were optimized and configured with different storage methods.Migration of massive data was realized with a data migration method based on genetic algorithm;data storage centers with different configurations were simulated and tested.The results show that the proposed storage architecture and data migration method can effectively solve the problem of data storage for mass transmission and transformation engineering,improving the performance of data storage system for power transmission and transformation engineering.
作者
袁兆祥
彭晶
安增军
张华
YUAN Zhao-xiang;PENG Jing;AN Zeng-jun;ZHANG Hua(State Grid Economic and Technological Research Institute Co.Ltd.,Beijing 102209,China;Project Center,Jiangxi Bowei New Technology Co.Ltd.,Nanchang 330096,China;Design Center,Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co.Ltd.,Nanjing 210024,China)
出处
《沈阳工业大学学报》
EI
CAS
北大核心
2019年第6期601-605,共5页
Journal of Shenyang University of Technology
基金
国家电网有限公司科技项目(B3441617K005)
关键词
输变电工程
海量数据
结构化数据
非结构化数据
存储
数据迁移
负载
遗传算法
power transmission and transformation engineering
massive data
structured data
unstructured data
storage
data migration
load
genetic algorithm
